An Ui Design Optimization Strategy for General App in Big Data Environment

• 作者: Chuntian Luo Guang Sun Hangjun Zhou Haoran Zhang Haowen Zhang Jieyu Zhou Wangdong Jiang Xiaoping Fan
• 来源期刊: 量子计算杂志(英文)
• 学科: 工学
• 关键词: UI design BIG data general APP USER PORTRAIT
• 年，卷（期）: 2019,（2）
• 页码范围: 65-80
• 页数: 16页
• 分类号: TP3

摘要

Due to the huge amount of increasing data, the requirements of people forelectronic products such as mobile phones, tablets, and notebooks are constantlyimproving. The development and design of various software applications attach greatimportance to users’ experiences. The rationalized UI design should allow a user not onlyenjoy the visual design experience of the new product but also operating it morepleasingly. This process is to enhance the attractiveness and performance of the newproduct and thus to promote the active usage and consuming conduct of users. In thispaper, an UI design optimization strategy for general APP in the big data environment isproposed to get better user experience while effectively obtaining information. Anexperimental example of a library APP is designed to optimize the user experience. Theexperimental results show that the user-centered UI design is the core of optimization,and user portrait based on big data platforms is the key to UI design.